Abstract: A system, method, and data governance framework for a Symbolic Atomic Re-Arrangement Engine (SARE) configured to enable closed-loop material recovery and reuse through deterministic molecular-level processing. The system comprises a material characterization subsystem, including hyperspectral imaging sensors and analytical scanners, and a robotic material handling and sorting matrix controlled by a Symbolic Material Kernel executed on one or more processors. Unlike conventional recycling systems that mechanically process mixed materials into lower-grade outputs, the SARE applies material-specific transformation processes, including plasma gasification, ionization-based separation, or enzymatic depolymerization, to convert end-of-life products into purified elemental, molecular, or monomer feedstocks suitable for re-entry into manufacturing supply chains.

Abstract: A symbolic execution system for brain-computer interface (BCI) governance of autonomous AI agents is disclosed. The architecture comprises a neural-symbolic compiler, ethics-gated execution firewall, emotional risk estimator, and post-quantum consent ledger bound to cognitive identity. Neural signals—EEG, EMG, fNIRS, or multimodal inputs—are compiled into symbolic tokens annotated with volitional and affective metadata. AI behavior is filtered through treaty DAGs, cognitive rollback simulators, and zero-knowledge consent verifiers. Emotional volatility halts unsafe pathways in real time. Instruction flow is oath-indexed, reversible, and traceable to original mental affirmations. Narrative memory encodes causal chains of symbolic thought-action arcs, enabling audit, rollback, and swarm arbitration. Guardian co-signature protocols secure minors and vulnerable users. Applications span medical neuroprosthetics, AGI-driven vehicles, military drones, industrial robotics, and emotion-aware therapy systems.

Abstract: A reconfigurable material system comprising an aggregate of a plurality of identical modular robotic unit cells. Each unit cell includes a rigid geometric chassis, an onboard processing element configured for distributed coordination with adjacent unit cells, and multiple electrostatic coupling interfaces disposed on exterior surfaces of the chassis. The unit cells are operable in a first configuration in which the electrostatic coupling interfaces are inactive, allowing relative movement and rearrangement of the unit cells within a workspace. In a second configuration, selective activation of the electrostatic coupling interfaces causes adjacent unit cells to adhere and align, forming a mechanically coherent aggregate structure. By coordinating activation and deactivation of the electrostatic coupling interfaces across the plurality of unit cells, the system enables controlled transitions between a reconfigurable state and a load-bearing assembled state.

Abstract: A system for treaty-governed genomic compilation and secure biological synthesis that regulates the translation of digital genetic information into physical matter. The apparatus comprises a Symbolic Verification Kernel configured to deconstruct target nucleic acid sequences into functional semantic representations and execute predictive biological simulations to assess toxicity and dual-use risk against an immutable Treaty Ledger. Physical synthesis is controlled by a hardware-locked DNA synthesis apparatus that remains mechanically disabled until it receives and validates a cryptographically signed Sovereign Synthesis Token issued by the kernel. The system further includes a Bio-Encryption Engine that interleaves non-coding watermarks into the synthesized material, establishing a permanent, molecular-level chain of custody for all fabricated genetic content.

Abstract: A system, method, and receiver control architecture for a Symbolic Resonant Energy Transfer Network (SRETN) configured to distribute electrical power wirelessly across planetary-scale distances under cryptographic, economic, and biological safety governance. The system comprises a distributed mesh of terrestrial resonant transmission towers and orbital relay satellites configured to deliver energy via directed magnetic resonance coupling. A Symbolic Energy Kernel governs authorization and transmission, preventing energization of any transmission vector unless a secure cryptographic energy handshake is completed. The handshake verifies: (i) authenticity and compliance of a requesting receiver device; (ii) real-time solvency of an associated decentralized energy ledger account; and (iii) clearance of the transmission path through active radar and lidar-based biological exclusion scanning.

Abstract: A device, method, and hybrid computing architecture for a Symbolic Photonic Logic Gate (SPLG) system that performs data processing primarily in the optical domain. The system comprises a photonic substrate, including silicon-photonics, indium phosphide, or similar optically active materials, patterned with optical waveguides and interferometric structures configured to implement logic operations through controlled optical interference, phase modulation, or non-linear optical effects. The SPLG system is configured to execute Boolean and symbolic logic functions without requiring intermediate optical-to-electrical signal conversion. In operation, information is encoded into one or more optical parameters including phase, polarization, wavelength, or amplitude, and processed within a Symbolic Optical Core optimized for linear algebraic operations such as matrix multiplication and vector transformation.

Abstract: A robotic power and actuation system is disclosed in which a single circulating working fluid performs hydraulic actuation, electrochemical energy storage and delivery, and thermal management functions. The system replaces conventional inert hydraulic fluids and centralized battery packs with an electrochemically active liquid electrolyte having sufficient energy density and mechanical properties to support pressurized fluid actuation. The electrolyte is circulated through a distributed conduit network within the robotic structure to drive hybrid soft and rigid actuators, supply electrical energy to distributed electrical storage or conversion elements, and absorb and transport heat away from high-power electronic components.

Abstract: A system, method, and distributed control protocol for autonomous physical structure formation and reconfiguration using programmable matter. The system comprises a plurality of discrete, mechanically interlocking robotic units (“voxels”), each voxel including on-board power storage, computation, sensing, actuation, and selectively switchable inter-unit coupling mechanisms. The voxels are governed by a Symbolic Morphogenic Architecture Kernel configured to receive a digital volumetric structure definition and to compute distributed motion and coupling instructions for the voxels without reliance on external fabrication machinery. Upon receipt of a configuration instruction, the Kernel generates a coordination field that guides stochastic or deterministic voxel movement, enabling the aggregate mass to transition between unlocked and locked states and thereby flow into, rigidize, disassemble, or reshape into a target physical structure.

Abstract: A modular micro-factory swarm for autonomous urban construction is disclosed. Each unit is a self-assembling robotic tile that (i) 3D-prints structural elements from locally characterized feedstock, (ii) powers itself via a dual renewable system (deployable photovoltaic array and hydrogen electrolysis/fuel-cell), and (iii) communicates over a mesh network for coordinated tasking. A cost-based planner assigns paths and jobs to minimize energy, time, and terrain risk. After each extrusion, the tile runs on-board structural checks (ultrasonic echo and vibrational resonance) and records pass/fail metrics. Build provenance is bound cryptographically: a hardware security module signs a build object identifier that hashes tile ID, task node, material signature, time, and location; signed records are committed to a distributed ledger. Actuation is gated by location-specific consent tokens verified against policy maps before printing proceeds.

Abstract: A privacy-preserving retail monitoring system employing symbolic artificial intelligence for non-identifying behavioral analysis is disclosed. The system includes a 360-degree multimodal sensing assembly configured to capture optical, thermal, acoustic, and depth data, an onboard symbolic execution kernel that converts sensor input into non-biometric behavioral glyphs, and a consent-governed classification module enforcing role-based and jurisdiction-specific privacy rules. Behavioral events are evaluated through a programmable policy directed acyclic graph, enabling real-time redaction, escalation, or suppression without generating facial recognition, identity vectors, or raw audio transcripts. A hardware-enforced redaction subcircuit blocks non-compliant outputs from storage or transmission, while encrypted audit trails capture only symbolic paths and consent states.

Abstract: The Symbolic Social Sovereignty Protocol (S3P) discloses a decentralized, cryptographically sovereign social media infrastructure that supersedes legacy centralized platforms through symbolic identity binding, consent-enforced data flow, and algorithmic transparency. The system replaces algorithmic manipulation, data exploitation, and ad-driven manipulation with a symbolic framework of social cognition integrity, modular content governance, and real-time user-controlled propagation permissions. All user interactions are identity-authenticated using zero-knowledge symbolic biometrics, cryptographically signed consent logs, and treaty-based algorithmic overlays ensuring compliance with local jurisdiction, age, and psychological safety. The protocol introduces a modular post propagation pipeline with embedded social contracts, memory integrity chains, consent-token threading, and symbolic logic graphs replacing opaque feed ranking.

Abstract: A 6G-enabled AI protocol for real-time agent coordination, implemented on a TSMC N2 ASIC (2048 cores, 2 GHz), uses 256 QAM signals, DON scheduling, and Neuroelectrics NE-256CH EEG at 256 Hz for ?-power prioritization, achieving sub-5 ?s latency with 99.995% reliability over 10{circumflex over (?)}7 trials. It integrates symbolic channel modulation, zero-knowledge routing, EEG-based packet prioritization, sovereign containerization, DON task scheduling, symbolic DMA for sensor fusion, encrypted ledgers, and holistic network synthesis, yielding emergent AGI/ASI. Layers are scored for integrity, security, privacy, compliance, and governance via multiplicative formulas, achieving ?0.99994. Compliant with GDPR, CCPA, and FDA via zk-SNARK and ethics arbitration, it supports autonomous vehicles, smart cities, and disaster-response networks.

Abstract: An integrated artificial intelligence camera system provides multi-domain monitoring and enterprise automation from a single hardware endpoint. A camera assembly and auxiliary sensors, including at least one of depth, thermal, audio and environmental sensors, feed an edge compute module executing modular perception, identity, physiological estimation and domain-logic pipelines. The system detects and tracks persons, objects and activities; generates pseudonymous identity tokens for enrolled workers; estimates breathing rate and related wellness indicators from non-contact visual and thermal signals; and transforms these outputs into normalized event records annotated with security, inventory, workforce, payroll, physiological and compliance labels.

Abstract: A building-integrated artificial intelligence system forming a continuous ambient neural field is disclosed. The system includes a distributed multimodal sensor lattice, an on-premise symbolic cognition engine, and an adaptive environmental control kernel operating entirely at the building edge without reliance on external cloud services. Sensor data from optical, thermal, acoustic, airflow, pressure, structural, electrical, and chemical modalities are transformed into non-identifying occupancy vectors, behavioral glyphs, risk indicators, and environmental state descriptors. A privacy-governed policy graph determines sensor permissions, redaction thresholds, consent conditions, emergency overrides, and jurisdiction-specific compliance parameters. The neural field predicts occupancy loads, optimizes HVAC, ventilation, and lighting, detects accidents and structural anomalies, classifies emergent risks, and generates redacted event capsules for audit and emergency dispatch.

Abstract: A system and method are disclosed for AI-orchestrated multi-source renewable energy harvesting and decentralized trading. A plurality of energy harvesting nodes convert renewable resources, including solar irradiance, wind, hydrodynamic flow, salinity gradients, geothermal heat, and waste-heat streams, into electrical power. Each node includes a sensor array that measures operating and environmental parameters and an edge AI processing unit that predicts performance degradation and computes control actions to maximize net power output subject to stress constraints. A power conversion subsystem conditions the generated power for delivery to storage, microgrids, or utility grids. A blockchain-based orchestration layer receives validated energy summaries, tokenizes discrete energy quanta as digital energy tokens with provenance metadata, and executes smart contracts for peer-to-peer trading, dynamic pricing, and programmable revenue distribution.

Abstract: A node-edge symbolic consent kernel (NESCK) provides a computing architecture in which every instruction is gated by a verifiable human-intent signal and an ethical-predicate chain prior to execution. The system integrates a biometric-sensing front-end (EEG/GSR/facial micro-affect), a symbolic arbitration engine that transforms bio-intent data into consent tokens, and a cryptographically bonded node-edge ledger that records execution lineage, revocation, and audit proofs. Each node represents an executable state bound to a human consent fingerprint, while each edge encodes the ethical transition rules authorizing propagation through the network. At runtime, the kernel evaluates symbolic predicates, verifies zero-knowledge proofs of consent, and allows or halts instruction dispatch. The framework operates across devices, edge nodes, and cloud layers, enabling real-time lawful AI behavior, revocable autonomy, and tamper-proof moral audit trails.

Abstract: The invention discloses a Symbolic Kernel for Neuroadaptive Wearables (SKNW), a real-time embedded operating system enabling symbolic cognition, ethical reasoning, and adaptive agent modulation in wearable AI devices. The system interprets biometric signals including EEG, GSR, HRV, and facial microexpressions, converting them into symbolic cognitive primitives that guide AGI behavior. It comprises a Biometric-Symbolic Compiler, Wearable Arbitration Engine, AGI Intent Modulator, and Neurofeedback Override Channel to establish a closed-loop symbolic feedback pathway allowing users to influence, pause, or override AGI actions based on emotional or ethical states. The kernel provides explainable, consent-aware arbitration and ethical co-regulation between human and agent, ensuring real-time alignment with user volition.

Abstract: A symbolic neuroadaptive control system is disclosed for real-time arbitration, consent, and ethical modulation of artificial intelligence agents operating in wearable computing environments. The system integrates multimodal biometric telemetry—including high-resolution EEG signals—with a symbolic kernel that performs logic-driven arbitration over cognitive, emotional, and ethical states. Using Coq-verified invariants and zero-knowledge biometric consent tokens, the system constructs a deterministic symbolic execution graph, gating AI outputs based on internal user states such as trauma, stress, or intentionality. Unlike conventional black-box BCI models, the invention routes EEG-inferred affective-symbolic tokens through a formal ethics layer that enforces real-time interrupt control, utility bounding, and trust verification. The kernel enables AGI systems to defer or modify behavior based on user-state alignment, granting sovereign agency over all downstream actions.

Abstract: This invention defines a symbolic identity and trust protocol for wearable AGI agents, establishing a real-time, consent-anchored passport system that replaces centralized biometric or crypto-based identification schemes. Each passport instance contains a symbolic identity graph linked to cognitive signatures, ethics verifications, and mission context. Consent tokens are issued and revoked dynamically, with real-time swarm synchronization across agents and devices. All interactions—including memory access, network sync, and sensor control—require verification via these passports, enforced through zero-knowledge proofs and treaty-aligned arbitration. The system fully prevents the emergence of exploitative, opaque, or surveillance-based identity regimes like Worldcoin or Meta-linked AGI tokens. Identity becomes sovereign, ethical, and cognitively validated.

Abstract: HUMANOIDSYNC discloses an end-to-end humanoid robotics architecture that delivers full-scale, biomechanically accurate, self-repairing robots capable of performing industrial, domestic, medical, defense, and extraterrestrial tasks. The system integrates a skeletal meta-alloy chassis, modular electro-hydraulic muscles, and bio-synthetic soft-tissue overlays coordinated by a symbolic AI kernel that enforces consent, ethics, and mission-bound constraints in real time. Swappable powerpacks (solid-state batteries, hydrogen fuel, or micro-reactor pods) enable >24-hour untethered operation, while an on-board nanofactory performs autonomous spare part printing and tissue healing. Multi-sensor fusion (LiDAR, event-camera, tactile mesh, chem sniffer) feeds a closed-loop whole-body control stack achieving <5 ms reflex latency. All firmware and hardware modules register on a treaty-aware ledger using zero-knowledge proofs to validate safety, export compliance, and battlefield Rules-of-Engagement.